{"id":"W4226218267","doi":"10.1007/978-3-030-96296-8_11","title":"Work-In-Progress About Dynamicity as a Foundation for AMI, a Mobile Intelligent and Adaptive Learning System","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Foundation (evidence); Computer science; History; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002392315,0.0006682596,0.000419883,0.0008382217,0.001327082,0.00420559,0.001322114,0.002326413,0.008754975],"category_scores_gemma":[0.002540993,0.0004061745,0.0005798703,0.001146054,0.005308359,0.01369719,0.001952801,0.006061029,0.001672866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001743284,"about_ca_system_score_gemma":0.001228172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155326,"about_ca_topic_score_gemma":0.001076686,"domain_scores_codex":[0.9993839,0.0002052845,0.00003397891,0.0001328919,0.0001775979,0.00006632185],"domain_scores_gemma":[0.9977813,0.001590088,0.00004618886,0.0002299106,0.0002274536,0.0001251092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002870299,0.00004880304,0.00008112309,0.0001229129,0.000009741972,0.00004998635,0.0007124325,0.001383946,0.0007941088,0.9521971,0.007707075,0.03686405],"study_design_scores_gemma":[0.0000135453,0.00006518116,0.0001888923,0.000208721,0.00001414257,0.0001359675,0.0003517009,0.00793751,0.001792815,0.8228065,0.1664594,0.00002555288],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02948739,0.1154776,0.2881697,0.04348119,0.004374311,0.0001037704,0.0002568051,0.0004577238,0.5181915],"genre_scores_gemma":[0.5682772,0.1366029,0.14425,0.006132028,0.009207631,0.0003150982,0.0007051019,0.0005877076,0.1339223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008754975,"threshold_uncertainty_score":0.02928829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325423440408299,"score_gpt":0.2516529375701183,"score_spread":0.2383987031660353,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}